Ashok Patel, PhD (Computer Science)
https://www.umassd.edu/directory/apatel38/
Professor (Associate Teaching) of Data Science & Computer Science, College of Engineering, 302B DION building, P: 508-999-9184, ashok.patel@umassd.edu
University of Massachusetts,
Dartmouth Campus.
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My research interests are at the crossroads of Cybersecurity and Artificial Intelligence / Machine
Learning Algorithms. Safeguarding data in the age of AI and building
secure AI applications are challenging. Integrating Security from the start is
vital to developing a secure AI/ML development lifecycle. AI/ML security
management is about creating security for AI agents in cloud environments and
infrastructure. My latest research focuses on protective monitoring for
sensitive data exposures by crawling from AI models.
1) Link to
published peer-reviewed research articles on Google Scholar:
https://scholar.google.com/citations?user=NdvEZDsAAAAJ&hl=en&inst=8491034277084204831
2) ORCID Link https://orcid.org/0000-0002-4027-5530
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Current MS Students under Direct Supervision (with thesis)
|
Sushanth Keerthipati |
|
Predictive Cyber Defense in IoT: A Hybrid Quantum GNN with MAML
Adaptation and QRL-Based Agentic Response; |
|
Joel Vanta |
|
Peer-Group-Aware Anomaly Detection for Credential Misuse in Enterprise
Authentication Logs |
Past Students: (at UMass Dartmouth)
|
Neda Farahmandi |
2024 |
Earthquake Prediction: Irregular Time-series Forecasting with Deep Learning |
|
Pooja Chigurupati |
2024 |
Transfer Learning in Adversarial Attack
Across Graph Neural Networks |
|
Devcharan Naik |
2025 |
Adaptive CTGAN: Enhancing Synthetic Data Generation for Imbalanced Cybersecurity Datasets |
|
Pranavi Nadipall |
2026 |
Inner Speech Decoding from EEG: A Comparative Study of
Deep Learning Architectures for Brain-Computer Interfaces |
Past Students (at Florida Poly)
|
Brett Glendenning |
2021 |
A Hierarchical Blockchain-Based
Approach To Secure Intelligent
Transport Systems in 5G |
|
Jacob Stevens |
2021 |
Robust, Effective, Applicable Detection of Fake Fingerprint: An
Anti-Spoofing System for Fingerprint Recognition |